Linear dynamics and control of brain networks

JZ Kim, DS Bassett - Neural Engineering, 2020 - Springer
… Many exciting and open frontiers exist in the study of brain network dynamics using linear
systems theory. Here we constrain our remarks to three main topic areas, but freely admit that …

Predicting Neurostimulation Responsiveness with Dynamic Brain Network Measures

JW Lang, WJ Wang, YF Zhou, ZT Hu, X Fu… - Proceedings of 2021 …, 2022 - Springer
… investigated whether dynamic brain network properties of … of the default mode network’s
dynamic attributes using the multilayer … of the dynamic network measures over the static network

Model-based design of closed loop deep brain stimulation controller using reinforcement learning

Q Gao, M Naumann, I Jovanov, V Lesi… - 2020 ACM/IEEE 11th …, 2020 - ieeexplore.ieee.org
… of the brain. Existing commercial DBS devices employ stimulation based only on fixed-frequency
periodic pulses. While such periodic high-frequency DBS controllers provide effective …

[HTML][HTML] Relations between large-scale brain connectivity and effects of regional stimulation depend on collective dynamical state

L Papadopoulos, CW Lynn, D Battaglia… - PLoS computational …, 2020 - journals.plos.org
… To explore how this affects the impacts of regional perturbations on brain network dynamics,
we next examine another working point—WP3—located at C = 2.5 and P base = 0.7. (Note …

Dynamical features of a focal epileptogenic network model for stimulation-based control

L Zhang, Q Wang, G Baier - IEEE Transactions on Neural …, 2020 - ieeexplore.ieee.org
… However, this difference only becomes significant for a very large number N of nodes and
as the role of hub nodes in brain connectivity remains undisputed [35], [54] this should not …

Anodal transcranial direct current stimulation enhances the efficiency of functional brain network communication during auditory attentional control

N Zink, K Kang, SC Li, C Beste - Journal of …, 2020 - journals.physiology.org
… and the efficiency of brain network communication in situations with … of brain network
communication during attentional control, θ-… model of transcranial electrical stimulation based on …

[HTML][HTML] … repetitive transcranial magnetic stimulation for precision depression treatment based on functional brain network controllability and optimal control analysis

F Fang, B Godlewska, RY Cho, SI Savitz, S Selvaraj… - NeuroImage, 2022 - Elsevier
brain networks controllability and optimal control approach in designing a personalized
neuromodulation protocol and interpreting the psychiatric diseases’ underlying neural control

Structural controllability predicts functional patterns and brain stimulation benefits associated with working memory

L Beynel, L Deng, CA Crowell… - Journal of …, 2020 - Soc Neuroscience
… To establish a link between actual brain state and this system dynamic model, we may
represent the brain state using the eigenmodes of the brain network system as follows: …

[HTML][HTML] Controlling clinical states governed by different temporal dynamics with closed-loop deep brain stimulation: a principled framework

G Tinkhauser, EM Moraud - Frontiers in neuroscience, 2021 - frontiersin.org
Closed-loop strategies for deep brain stimulation (DBS) are paving the way for improving
the efficacy of existing neuromodulation therapies across neurological disorders. Unlike …

[HTML][HTML] Stimulating at the right time to recover network states in a model of the cortico-basal ganglia-thalamic circuit

TO West, PJ Magill, A Sharott, V Litvak… - PLoS computational …, 2022 - journals.plos.org
… we show how brain rhythms can act as signatures of underlying changes in networks. Further…
show how future approaches to brain stimulation can act to restore or even augment neural …